Big Data Recommender Systems: Application Paradigms
The Institution of Engineering and Technology
Hardcover 520 pages English Aug 29, 2019
(No reviews yet)
Write a Review
Write a Review
Institution of Engineering & Technology
Big Data Recommender Systems: Application Paradigms
Millions of titlesEvery book you're looking for
Carbon-neutral shippingFree on orders over $39.99
Fast shipping worldwideDelivered to your door
First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.
- Author:
- Osman Khalid, Samee U. Khan, Albert Y. Zomaya, Osman Khalid
- Publisher:
- The Institution of Engineering and Technology
- Publication Date:
- Aug 29, 2019
- Number of pages:
- 520 pages
- Language:
- English
- Binding:
- Hardcover
- ISBN-10:
- 1785619772
- ISBN-13:
- 9781785619779